Practical Machine Learning

SDS 336, Fall 2026

Instructor: Pratik Patil

Lectures: Tuesdays, Thursdays, 12.30-2pm, WAG 420

Office hours: Tuesdays, Thursdays, 2-3pm, WEL 5.216H

Handy links: Website, Syllabus, Canvas

Schedule

Here is the estimated class schedule. It is subject to change, depending on time and class interests.

Week 01 Aug 24 - Aug 30 Hw 01 due Sun Aug 30
Week 02 Aug 31 - Sep 06 Hw 02 due Sun Sep 06
Week 03 Sep 07 - Sep 13 Hw 03 due Sun Sep 13
Week 04 Sep 14 - Sep 20 Hw 04 due Sun Sep 20
Week 05 Sep 21 - Sep 27 Hw 05 due Sun Sep 27
Week 06 Sep 28 - Oct 04 Hw 06 due Sun Oct 04
Week 07 Oct 05 - Oct 11 Hw 07 due Sun Oct 11
Week 08 Oct 12 - Oct 18 Hw 08 due Sun Oct 18
Week 09 Oct 19 - Oct 25 Hw 09 due Sun Oct 25
Week 10 Oct 26 - Nov 01 Hw 10 due Sun Nov 01
Week 11 Nov 02 - Nov 08 Hw 11 due Sun Nov 08
Week 12 Nov 09 - Nov 15 Hw 12 due Sun Nov 15
Week 13 Nov 16 - Nov 22 Hw 13 due Sun Nov 22
Week 14 Nov 23 - Nov 29 (Thanksgiving break, no class)
Week 15 Nov 30 - Dec 06
Week 16 Dec 07 - Dec 13 (Final exam week, no class)

Homeworks

Resources

The course is designed to be self-contained and will often provide references for further details on various topics covered. The following references are wonderful resources for the material covered in this course: